Google DeepMind CEO — Much Cheering on Medical Uses of AI from DeepMind:
CEO of Google DeepMind, Demis Hassabis has shaken off the chill with a believe the world prediction: Artificial Intelligence (AI) can treat every disease in the next 10 years. When speaking about the same technology summit in Delhi, Hassabis pushed his ardent faith in AI advancing medical science by multiple orders of magnitude in the near term due to rapid advances made throughout many parts of its different fields (protein folding, drug discovery etc.). He envisions AI algorithms being able to decode the mysteries of biological systems, ushering in an era where the vast field of diseases exist mostly on paper — to be neatly eradicated — with therapy and precaution at any specific cuticle.
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Perplexity CEO Aravind Srinivas (on the same train) Confirms Optimism:
More fuel to this optimistic camp, with Perplexity AI CEO Aravind Srinivas publicly saying what Hassabis has named as his ambitious move in time. At a different tech forum also held in Delhi, Srinivas mentioned the potential synergy between huge language models and complex biological datasets. He pointed out how the processing and analysis of massive medical data by AI could enable patterns to discerned leading to novel hypotheses in early disease pathway thereby bringing the cure and treatments just one step closer. Srinivas is convinced that the current progress of AI in healthcare points to a future where most of today incurable diseases not continue to be hard to treat but will be manageable or even eradicated within next decade.
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AI — The future of healthcare:
The CAEs both pointed to recent wins in drug discovery via AI, personalised medicine and systems level understanding of disease as signs of an upcomming revolution, in our view. They emphasized how AI can read through genetic data much faster and with more accuracy than current methods in order to discern biomarkers of disease, suggesting design of new therapeutic interventions effortlessly[5]. 1 Despite the complexity of biological systems and the challenge of validating medical breakthroughs, they bind together under a shared faith that is slowly but unmistakably percolating its way through the wider AI community: i.e. AI revolutionizing human health over the near decade. The thoughts from two heavy characters in the AI-arena have set off conversations and hopes of a disease-light future.
